jfqa-submission
Use when running the final pre-submission preflight for the Journal of Financial and Quantitative Analysis (JFQA) via Editorial Manager — text-searchable single PDF, 8.5x11 / 1-inch / 12-pt Times New Roman double-spaced formatting, double-anonymous anonymization, the 100-word abstract cap, the $350 fee, prior-rejection disclosure to avoid the one-year ban, and code-sharing exception timing. Final checks; it does not draft content.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-submission --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# JFQA Submission Preflight (jfqa-submission) Run this before pressing submit on **Editorial Manager** (`editorialmanager.com/jfqa/`). JFQA requires an account **separate** from a Cambridge Core account. ## Process facts (verify on the official page) - Published by **Cambridge University Press** for the **University of Washington Foster School of Business**. - **$350** fee (re-verified 2026-06-22,
What does the jfqa-submission skill do?
Use when running the final pre-submission preflight for the Journal of Financial and Quantitative Analysis (JFQA) via Editorial Manager — text-searchable single PDF, 8.5x11 / 1-inch / 12-pt Times New Roman double-spaced formatting, double-anonymous anonymization, the 100-word abstract cap, the $350 fee, prior-rejection disclosure to avoid the one-year ban, and code-sharing exception timing. Final checks; it does not draft content.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-submission --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.